Parameter Optimization for Automated Signal Analysis for Condition Monitoring of Aircraft Systems

Gerdes, Mike; Scholz, Dieter

Verlagslink:	http://www.fzt.haw-hamburg.de/pers/Scholz/PAHMIR/PAHMIR_PUB_AST_11-03-31.pdf http://www.shaker.de/shop/978-3-8322-9904-0
Titel:	Parameter Optimization for Automated Signal Analysis for Condition Monitoring of Aircraft Systems
Sprache:	Englisch
Autorenschaft:	Gerdes, Mike Scholz, Dieter
Herausgeber*In:	von Estorff, Otto Thielecke, Frank
Schlagwörter:	Aircraft Systems Technologies; Airframe Systems and Equipment; Cabin and Comfort; Information and Communication Management; Materials and Production; TUHH
Erscheinungsdatum:	2011
Verlag:	Shaker Verlag
Buchtitel:	Proceedings of the 3rd International Workshop on Aircraft System Technologies
Teil der Schriftenreihe:	Berichte aus der Luft- und Raumfahrttechnik
Anfangsseite:	329
Endseite:	340
Konferenz:	International Workshop on Aircraft System Technologies 2011
Zusammenfassung:	In the PAHMIR (Preventive Aircraft and Health Monitoring) project pattern recognition and signal analysis is used to support and simplify the monitoring of complex aircraft systems. The parameters of the signal analysis need to be chosen specifically for the monitored system to get the best pattern recognition accuracy. An optimization process was developed that uses global heuristic search and optimization to find a good parameter set for the signal analysis. The computed parameters deliver slightly (one to three percent) better results than the ones found by hand. In addition it is shown that not a full set of data samples is needed. Genetic optimization showed the best performance.
URI:	http://hdl.handle.net/20.500.12738/2304
ISBN:	978-3-8322-9904-0
Einrichtung:	Department Fahrzeugtechnik und Flugzeugbau Fakultät Technik und Informatik
Dokumenttyp:	Konferenzveröffentlichung
Enthalten in den Sammlungen:	Publications without full text